Triple

T23531716
Position Surface form Disambiguated ID Type / Status
Subject Rudersdal Municipality E576587 entity
Predicate hasLake P1025 FINISHED
Object Sjælsø
Sjælsø is a scenic freshwater lake in eastern Denmark known for its natural surroundings and recreational opportunities such as fishing, birdwatching, and walking.
 E1592133 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sjælsø | Statement: [Rudersdal Municipality, hasLake, Sjælsø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sjælsø
Context triple: [Rudersdal Municipality, hasLake, Sjælsø]
  • A. Møvig
    Møvig is a coastal area in Kristiansand, Norway, known for its maritime setting and historical World War II coastal fortifications.
  • B. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • C. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • D. Solør
    Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
  • E. Sørvær
    Sørvær is a small fishing village and settlement located on the island of Sørøya in northern Norway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sjælsø
Triple: [Rudersdal Municipality, hasLake, Sjælsø]
Generated description
Sjælsø is a scenic freshwater lake in eastern Denmark known for its natural surroundings and recreational opportunities such as fishing, birdwatching, and walking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sjælsø
Target entity description: Sjælsø is a scenic freshwater lake in eastern Denmark known for its natural surroundings and recreational opportunities such as fishing, birdwatching, and walking.
  • A. Møvig
    Møvig is a coastal area in Kristiansand, Norway, known for its maritime setting and historical World War II coastal fortifications.
  • B. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • C. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • D. Solør
    Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
  • E. Sørvær
    Sørvær is a small fishing village and settlement located on the island of Sørøya in northern Norway.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac78581c8190bd9d09ce2be8029d completed April 29, 2026, 7 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf559a988190926f6f2ae298da58 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0d7213f9508190a8884846e19079e3 completed May 20, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0d72ad1b148190bbe5f65e84ac2837 completed May 20, 2026, 8:37 a.m.
Created at: April 17, 2026, 6:09 p.m.